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Patient-Derived Models of Cancer (PDMC) Program

Image of a patient-derived model system.

The Patient-Derived Models of Cancer (PDMC) program, funded through PAR-16-344, developed and characterized patient-derived models to define the biological mechanisms that drive cancer phenotype and response to perturbations. The program tested and compared distinct patient-derived models generated from common patient samples with the objective of improving the understanding of the strengths and limitations of different patient-derived models as representatives of human tumors. 

Additionally, the program performed systematic studies of patient-derived model parameters related to intrinsic tumor factors and microenvironmental pressures to explore fundamental cancer biology research questions. The goal of the PDMC was to improve patient-derived models for cancer biology research that may inform the development of novel cancer therapies. 

PDMC Final Meeting

The last PDMC annual meeting was virtually held on Aug. 28, 2024. It highlighted the progress of the PDMC in the development and validation of patient-derived models for cancer biology. Additional information can be found in the meeting agenda.

 

  • PDX Finder – A comprehensive global catalogue of patient-derived xenograft (PDX) models and their associated data across resources
  • NCI Patient -Derived Models Repository (PDMR) - A national repository of patient-derived models, including (PDXs), patient-derived tumor cell cultures and cancer associated fibroblasts, as well as patient-derived organoids
  • PDXNet Portal – A database of PDX models, sequencing data, and PDX Minimum Information metadata tools generated by the PDXNet [inline link to NET Moonshot page] (which is funded by the Cancer Moonshot) for public use.

DCB Contact for the PDMC 

For additional information about PDMC, please contact Dr. Konstantin Salnikow.

Past Projects

Institution Principal Investigator(s) Project Title
Cold Spring Harbor David A. Tuveson, Paul Robson CSHL-JAX Patient-Derived Models of Pancreatic Cancer as Systems for Investigating Tumor Heterogeneity
Duke University Shiaowen D. Hsu Epigenomic Reprogramming in Patient Derived Models of Colorectal Cancer
Lurie Children's Hospital of Chicago Xiao-Nan Li Matching Panels of In Vivo and In Vitro Model System of Pediatric Brain Tumors
Oregon Health & Science University Rosalie C. Sears, Jonathan Brody, Lisa M. Coussens, Emek Demir  Comparative Analysis between Patient-derived Models of Pancreatic Ductal Adenocarcinomas and Matched Tumor Specimens
University of Alabama at Birmingham Christopher D. Willey, Jake Y. Chen, Xiangqin Cui, Anita B. Hjelmeland, Raj K. Singh Biological Comparisons Among Three Derivative Models of Glioma Patient Cancers Under Microenvironmental Stress
University of California, San Francisco John Kurhanewicz, Donna M. Peehl  Metabolic Imaging Comparisons of Patient-Derived Models of Renal Cell Carcinoma
University of Texas MD Anderson Cancer Center Nora Navone, Yu Chen, Phillip A. Futreal Patient-Derived Models of Prostate Cancer for Personalized Medicine
University of Texas Southwestern Medical Center Sean J. Morrison The Metabolic Regulation of Melanoma Metastasis
University of Utah Bryan E. Welm, Gabor T. Marth, Katherine E. Varley Longitudinal Models of Breast Cancer for Studying Mechanisms of Therapy Response and Resistance
Yale University Katerina A. Politi, Don X. Nguyen Uncovering the Biology of Resistance to TKI in EGFR Mutant Lung Cancer
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